Evidence map›Paper›PMID 34895253›Full record

ArticleThrombosis journal2021

The impact on renal function after long-term use of anticoagulants in atrial fibrillation patients.

Wei-Chieh Lee, Pai-Wei Lee, Po-Jui Wu, Yen-Nan Fang, Huang-Chung Chen, Yu-Sheng Lin, Hsiu-Yu Fang, Shang-Hung Chang, Ping-Yen Liu, Mien-Cheng Chen

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Thrombosis journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Wei-Chieh LeeInstitute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID http://orcid.org/0000-0003-0585-6134
Pai-Wei LeeCenter for Big Data Analytics and Statistics, Chang-Gung University and Hospital, Taipei, Taiwan.
Po-Jui WuDivision of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, 123 Ta Pei Road, Niao Sung District, Kaohsiung City, 83301, Taiwan.
Yen-Nan FangDivision of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, 123 Ta Pei Road, Niao Sung District, Kaohsiung City, 83301, Taiwan.
Huang-Chung ChenDivision of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, 123 Ta Pei Road, Niao Sung District, Kaohsiung City, 83301, Taiwan.
Yu-Sheng LinDivision of Cardiology, Chang Gung Memorial Hospital, Chiayi, Taiwan.
Hsiu-Yu FangDivision of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, 123 Ta Pei Road, Niao Sung District, Kaohsiung City, 83301, Taiwan.
Shang-Hung ChangCenter for Big Data Analytics and Statistics, Chang-Gung University and Hospital, Taipei, Taiwan.
Ping-Yen LiuInstitute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan. larry@mail.ncku.edu.tw.
Mien-Cheng ChenDivision of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, 123 Ta Pei Road, Niao Sung District, Kaohsiung City, 83301, Taiwan. chenmien@ms76.hinet.net.
Chang Gung University · TWChiayi Chang Gung Memorial Hospital · TWNational Cheng Kung University · TW

Funding

Kaohsiung Chang Gung Memorial Hospital CMRPG8K0821
6 · The paper itself

Abstract

objectiveLong-term oral anticoagulant should be considered or recommended in patients with atrial fibrillation (AF) and CHA2DS2VASc score ≥ 1 for stroke prevention. Warfarin and different direct oral anticoagulants (DOACs) are metabolized differently by the kidney. The impact on renal function after long-term use of anticoagulants in the patients with AF remains unclear. This study aimed to compare DOACs and warfarin's impact on the decline in renal function from a large cohort with AF.

methodsThis study included patients with nonvalvular AF from 2000 to 2018, mainly through the medical history (ICD code) of the Chang Gung Research Database. Baseline estimated glomerular filtration rate (eGFR), follow-up eGFR and the change in eGFR between 2-year eGFR and baseline eGFR were compared between different DOACs and warfarin after propensity score matching. The primary study endpoint was acute kidney injury (AKI).

results3657 patients were enrolled in this study and the mean observation time was 3.3 ± 0.9 years. During the observation period, there was a significantly higher incidence of AKI during follow-up in the warfarin group than in the different DOAC groups before and after propensity score matching (before: warfarin vs. DOAC: 9.2% vs. 5.2%, p <  0.001; after: warfarin vs. DOAC: 8.9% vs. 4.4%, p <  0.001). There was no difference in the incidence of AKI between dabigatran group and anti-factor Xa inhibitor group after propensity score matching. The incidence of AKI was similar among rivaroxaban, apixaban and edoxaban groups after propensity score matching. The change in eGFR between 2-year eGFR and baseline eGFR did not differ between the warfarin and DOAC groups after propensity score matching (warfarin vs. DOAC: - 1.27 ± 20.32 vs. -1.94 ± 17.24 mL/min/1.73 m

conclusionsDuring the mean observation time of 3.3 ± 0.9 years, warfarin was associated with a higher incidence of AKI compared with DOACs. The decline in renal function did not differ among warfarin and different DOAC groups.

Indexed as

Acute kidney injuryAtrial fibrillationEstimated glomerular filtration rateNon-vitamin K oral anticoagulantWarfarin

Identifiers

PMID34895253
PMCPMC8666070
OpenAlexW4200427257

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.